308 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"INSA-toulouse" positions at Monash University
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developing research proposals, advising researchers on funding opportunities, and managing internal grant programs. You will prepare high-quality documentation, maintain research information systems, and
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demonstrate strong analytical and problem-solving capabilities, alongside well-developed written and verbal communication skills to engage effectively with diverse stakeholders. High computer literacy
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a collaborative research team using large-scale Australian data and modern statistical methods to produce credible evidence on these issues. The project provides an opportunity to contribute crucial
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environments—such as MOOCs, online degrees, and data-intensive Learning Management Systems—necessitate scalable solutions to provide timely, high-quality feedback. However, existing AI-powered assessment systems
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compliance with privacy, confidentiality, and regulatory requirements, including student visa processes. It involves the accurate input, analysis, and management of data and records, providing sound and timely
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disability, and contributes directly to nationally significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative
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labour markets shape the recruitment, retention, well-being of doctors and nurses, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and
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significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative methods, including causal econometric analysis and
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, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and modern causal inference methods, the research will analyse how changes in pay
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health, employment, and wellbeing outcomes for individuals and families. The successful candidate will join a highly collaborative research team using linked employer–employee administrative data